roshna-omer/whisper-small-ku-ckb

Whisper Small Kurdish - Sorani

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3404
• Wer: 41.8478

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1032	1.2330	1000	0.2923	45.9189
0.0714	2.4661	2000	0.2766	42.8415
0.0281	3.6991	3000	0.3084	41.8577
0.0092	4.9322	4000	0.3404	41.8478

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.1+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1